Collection Condition Register
Prioritize collection inspections using recorded condition, handling frequency and inspection intervals.
- 1List your objects
- 2Read the answer as you type
- 3Download or print it
Loading the worked example…
Assumptions
Results update as you type. Example figures are illustrative.
Your working data
Edit cells directly or import a CSV. Download “Input CSV” for the required column names. Up to 200 rows; scroll the table sideways for additional fields.
Detailed analysis
Exports include all results, regardless of the search filter. The HTML report includes assumptions and source data; use your browser’s Print command for PDF.
Chart shows the first 20 rows; negative values use a warm color. Click table headers to sort.
Compare up to four scenarios
Capture the current inputs, change assumptions and capture again. Scenarios are included in downloaded projects.
What this model includes
Subjective prioritization from your own observations. Not a conservation diagnosis or treatment recommendation.
Import and save safely
CSV imports use your current assumptions. Project files restore assumptions, rows and saved scenarios. No automatic saving: download a project before closing this page. Imports are limited to 10 MiB and 200 rows. Calculations run in your browser; the site’s advertising and analytics follow its privacy policy.
Using Collection Condition Register
Prioritize collection inspections using recorded condition, handling frequency and inspection intervals.
- Set review date.
- Add one row for each object in the table.
- Read the priorities beside your table, then download the result.
Example
The worked example includes O1, O2. Change the first review date setting and compare the result with a saved baseline.
Questions & answers
What does Collection Condition Register calculate?
Prioritize collection inspections using recorded condition, handling frequency and inspection intervals.
What are the important limitations?
Subjective prioritization from your own observations. Not a conservation diagnosis or treatment recommendation.
Can I continue my work later?
Yes. Save a project JSON file and reopen it with Import CSV / project. It contains the working data, assumptions and up to four scenarios. Nothing is saved automatically.
What CSV columns do I need?
id, name, condition, handling, checked, interval. Download Input CSV for a compatible example. CSV imports keep your current assumptions.
Are these example figures current industry benchmarks?
No. They are illustrative values to demonstrate the model. Replace them with figures appropriate to your situation.
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